Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hartley County, TX

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hartley County, TX
Series ID MHICIUBTX48205A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:09 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 46856
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40026
1994-01-01 .
1995-01-01 42068
1996-01-01 .
1997-01-01 47406
1998-01-01 51253
1999-01-01 51418
2000-01-01 52477
2001-01-01 51740
2002-01-01 46519
2003-01-01 44924
2004-01-01 45015
2005-01-01 51640
2006-01-01 51232
2007-01-01 56653
2008-01-01 59664
2009-01-01 60294
2010-01-01 62992
2011-01-01 66511
2012-01-01 66934
2013-01-01 70992
2014-01-01 68311
2015-01-01 73127
2016-01-01 77742
2017-01-01 76229
2018-01-01 80585
2019-01-01 81363
2020-01-01 86618
2021-01-01 78385
2022-01-01 93631

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